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- Tasks: Develop and deploy AI/ML models for impactful business applications.
- Company: Join a leading tech team at Aventis Solutions driving AI innovation.
- Benefits: Enjoy a competitive salary, bonuses, pension contributions, and flexible remote work options.
- Why this job: Be part of a pioneering team shaping the future of AI in a fast-paced environment.
- Qualifications: Experience in AI/ML development and infrastructure engineering is essential.
- Other info: Opportunities for rapid career growth into leadership roles.
The predicted salary is between 64000 - 85000 £ per year.
Aventis Solutions is partnering with a leading technology team to build a cutting-edge AI Innovation Team, and we are looking for an exceptional Machine Learning Engineer / MLOps Engineer / AIOps Engineer / AI Data Engineer / Data Scientist / Data Science Engineer / Software Engineer Tech Lead to be at the heart of this transformation. This is a critical role for someone who can bridge the gaps between data science, data engineering and software engineering, ensuring AI/ML models are successfully built, deployed and scaled. You will work on real-world machine learning applications, leveraging vast datasets and cutting-edge technology to create real business impact.
Key Details:
- Salary: £80,000 – £85,000 + 25% bonus + 15% pension contribution + strong benefits package
- Location: London-based HQ + flexible remote working options
- Future Growth: Opportunity to progress into a more rounded Head of AI Engineering very quickly or move into wider architecture type positions.
Key skills desired / what you will be doing:
- Develop and deploy AI/ML artificial intelligence / machine learning models for large-scale business applications.
- Build and maintain high-performance data pipelines, integrating structured and unstructured data sources.
- Take AI models from prototype to fully scalable production systems.
- Implement CI/CD pipelines for automated deployment and real-time model monitoring.
- Collaborate with data scientists, software engineers, and product managers to align AI solutions with commercial goals.
- Financial services experience is desired but not essential.
- API development (FastAPI, Flask)
- Tech stack: Azure, Python, Databricks, Azure DevOps, ChatGPT, Groq, Cursor AI, JavaScript, SQL, Apache Spark, Kafka, Airflow, Azure ML, Docker, Kubernetes and many more.
Role Overview:
We are looking for someone who is as comfortable developing AI/ML models as they are engineering the infrastructure to deploy and scale them. You will thrive in a fast-paced, collaborative environment and have a passion for leveraging AI/ML to solve real-world challenges. Overall, this is a rare opportunity to be part of a pioneering AI Innovation Team, shaping the future of AI within a leading organisation where other companies are lagging behind.
Interested? Please submit your CV via LinkedIn or message Billy Hall for further information.
Lead AI Engineer - AI Innovation Team - GenAI Developer - Azure employer: Aventis Solutions
Contact Detail:
Aventis Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer - AI Innovation Team - GenAI Developer - Azure
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Azure, Python, and Databricks. Having hands-on experience or projects showcasing these skills can set you apart during discussions.
✨Tip Number 2
Network with professionals in the AI and machine learning space, especially those who have experience in financial services. Engaging with industry experts can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss real-world applications of AI/ML that you've worked on. Be ready to explain how you’ve taken models from prototype to production, as this is a key aspect of the role.
✨Tip Number 4
Show your enthusiasm for collaboration by highlighting any past experiences where you worked closely with cross-functional teams. This will demonstrate your ability to align AI solutions with commercial goals, which is crucial for this position.
We think you need these skills to ace Lead AI Engineer - AI Innovation Team - GenAI Developer - Azure
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI/ML, data engineering, and software engineering. Use specific examples of projects where you've developed or deployed AI models, and mention any technologies from the job description that you are familiar with.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your ability to bridge the gap between data science and software engineering. Mention how your skills align with the role and express your enthusiasm for being part of an innovative team.
Highlight Relevant Skills: In your application, emphasise your experience with the tech stack mentioned, such as Azure, Python, and CI/CD pipelines. If you have experience in financial services, be sure to include that as well, even if it's not essential.
Showcase Collaboration Experience: Since the role involves working with various teams, provide examples of past collaborations with data scientists, software engineers, or product managers. Highlight how these experiences have prepared you for this role in a fast-paced environment.
How to prepare for a job interview at Aventis Solutions
✨Showcase Your Technical Skills
Be prepared to discuss your experience with the tech stack mentioned in the job description, such as Azure, Python, and CI/CD pipelines. Bring examples of projects where you've successfully developed and deployed AI/ML models, highlighting your role in the process.
✨Demonstrate Collaboration
Since the role involves working closely with data scientists, software engineers, and product managers, be ready to share examples of how you've collaborated in past projects. Emphasise your ability to align technical solutions with commercial goals.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your problem-solving skills. Think about real-world challenges you've encountered in AI/ML projects and how you overcame them, particularly in terms of scaling models and managing data pipelines.
✨Express Your Passion for AI Innovation
Convey your enthusiasm for AI and its potential to solve real-world problems. Discuss any personal projects or research you've undertaken in the field, as this will demonstrate your commitment and passion for the industry.
